{"title":"视觉分析设计检测空气污染源VAST挑战赛2017奖:综合迷你挑战赛2答案","authors":"J. Wood","doi":"10.1109/VAST.2017.8585588","DOIUrl":null,"url":null,"abstract":"Using the VAST Challenge 2017 dataset as illustration, the design choices of a visual analytic system for predicting the source of air pollution is described. Probabilistic Source Cones are visual symbols representing the probability of source direction of a pollution event. Using transparency to indicate probability, multiple cones may be overlaid in order to provide a fuzzy triangulation of likely sources. This enabled the correct prediction and elimination of pollution sources at a precision far in excess of the spatial density of the sensors themselves.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visual Analytic Design for Detecting Airborne Pollution Sources VAST Challenge 2017 Award: Comprehensive Mini-Challenge 2 Answer\",\"authors\":\"J. Wood\",\"doi\":\"10.1109/VAST.2017.8585588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using the VAST Challenge 2017 dataset as illustration, the design choices of a visual analytic system for predicting the source of air pollution is described. Probabilistic Source Cones are visual symbols representing the probability of source direction of a pollution event. Using transparency to indicate probability, multiple cones may be overlaid in order to provide a fuzzy triangulation of likely sources. This enabled the correct prediction and elimination of pollution sources at a precision far in excess of the spatial density of the sensors themselves.\",\"PeriodicalId\":149607,\"journal\":{\"name\":\"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VAST.2017.8585588\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VAST.2017.8585588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using the VAST Challenge 2017 dataset as illustration, the design choices of a visual analytic system for predicting the source of air pollution is described. Probabilistic Source Cones are visual symbols representing the probability of source direction of a pollution event. Using transparency to indicate probability, multiple cones may be overlaid in order to provide a fuzzy triangulation of likely sources. This enabled the correct prediction and elimination of pollution sources at a precision far in excess of the spatial density of the sensors themselves.